کتاب صوتی جاوا برای توسعه‌دهندگان Spring Cloud Autodesk AI Platform

🎓 دوره آموزشی جامع

📚 اطلاعات دوره

عنوان دوره: دوره جاوا برای توسعه‌دهندگان Spring Cloud Autodesk AI Platform

موضوع کلی: برنامه نویسی

موضوع میانی: جاوا (Java)

📋 سرفصل‌های دوره

• 1. مقدمه ای بر جاوا و اکوسیستم آن
• 2. نصب و پیکربندی JDK و IDE (IntelliJ IDEA)
• 3. مفاهیم پایه: متغیرها، انواع داده، عملگرها
• 4. ساختارهای کنترلی: شرط ها (if/else) و حلقه ها (for/while)
• 5. آرایه ها و کالکشن ها: ArrayList, LinkedList, HashMap
• 6. مفاهیم شی گرایی: کلاس ها، اشیاء، وراثت، چندریختی، انتزاع
• 7. کلاس های Abstract و Interface ها
• 8. Exception Handling: Try-Catch-Finally
• 9. آشنایی با Thread ها و Concurrency
• 10. کار با I/O Streams و فایل ها
• 11. Generics در جاوا
• 12. Lambda Expressions و Functional Interfaces
• 13. Java Collections Framework پیشرفته
• 14. Design Patterns مقدماتی (Singleton, Factory)
• 15. معرفی Spring Framework و Core Container
• 16. Dependency Injection (DI) و Inversion of Control (IoC)
• 17. Bean Definition و Bean Lifecycle
• 18. Annotation-based Configuration در Spring
• 19. Java-based Configuration در Spring
• 20. Spring Boot: مقدمه و راه اندازی
• 21. Spring Boot Auto-Configuration
• 22. Spring Boot Starters
• 23. Spring MVC: مقدمه و ساختار
• 24. Controllers و Request Mapping
• 25. View Resolvers و Template Engines (Thymeleaf)
• 26. Form Handling و Data Binding
• 27. Validation در Spring MVC
• 28. RESTful Web Services با Spring MVC
• 29. Consuming RESTful APIs با RestTemplate
• 30. Spring Data JPA: مقدمه و Repository Pattern
• 31. Entities و Mapping با JPA Annotations
• 32. CRUD Operations با Spring Data JPA
• 33. Query Methods و Custom Queries
• 34. Transactions Management با Spring
• 35. Spring Security: مقدمه و Authentication
• 36. Authorization و Role-Based Access Control
• 37. Configuring Spring Security
• 38. OAuth 2.0 و JWT
• 39. Spring Cloud: مقدمه و Microservices Architecture
• 40. Service Discovery با Eureka
• 41. API Gateway با Zuul/Spring Cloud Gateway
• 42. Circuit Breaker با Hystrix/Resilience4j
• 43. Configuration Management با Spring Cloud Config
• 44. Message Queues با RabbitMQ/Kafka
• 45. Distributed Tracing با Zipkin/Jaeger
• 46. Introduction to Autodesk AI Platform
• 47. Autodesk Platform Services (APS) APIs Overview
• 48. Authentication and Authorization with APS
• 49. Model Derivative API: Converting CAD Models
• 50. Viewer API: Displaying CAD Models in the Browser
• 51. Data Management API: Accessing and Managing Data
• 52. Reality Capture API: Processing 3D Scans
• 53. Design Automation API: Automating CAD Tasks
• 54. Forge CLI and SDKs
• 55. Setting up a Forge Development Environment
• 56. Creating a Simple Forge Application
• 57. Integrating APS APIs into a Spring Boot Application
• 58. Building a Microservice for Model Conversion
• 59. Building a Microservice for Data Extraction
• 60. Deploying Microservices to the Cloud (AWS/Azure)
• 61. Securing Microservices with Spring Cloud Security
• 62. Monitoring Microservices with Prometheus/Grafana
• 63. Logging with ELK Stack (Elasticsearch, Logstash, Kibana)
• 64. Testing Spring Boot Applications: Unit Tests
• 65. Integration Tests با Spring Test
• 66. Performance Tuning و Profiling Java Applications
• 67. Garbage Collection در جاوا
• 68. Code Quality Best Practices
• 69. Design Patterns پیشرفته (Observer, Strategy)
• 70. Reactive Programming with Project Reactor
• 71. WebSockets با Spring
• 72. Server-Sent Events (SSE) با Spring
• 73. GraphQL با Spring
• 74. Microservices Communication Patterns (Saga, CQRS)
• 75. Building Resilient Microservices
• 76. Containerization با Docker
• 77. Orchestration با Kubernetes
• 78. Continuous Integration/Continuous Deployment (CI/CD) با Jenkins/GitLab CI
• 79. Cloud Native Architecture
• 80. DevOps Practices
• 81. Monitoring and Alerting
• 82. Troubleshooting Microservices
• 83. Security Best Practices for Microservices
• 84. Scalability Strategies for Microservices
• 85. Cost Optimization در Cloud
• 86. Working with Legacy Systems
• 87. API Design Best Practices
• 88. Documentation with Swagger/OpenAPI
• 89. Performance Optimization for Autodesk AI Platform Integration
• 90. Advanced Data Management Techniques
• 91. AI/ML Integration with Autodesk Data
• 92. Edge Computing with Java
• 93. Building a Complete Sample Application integrating Spring Cloud and Autodesk AI Platform
• 94. Advanced Spring Boot Configuration
• 95. Advanced Spring Data JPA Techniques
• 96. Advanced Spring Security Techniques
• 97. Testing and Deployment Strategies for Production
• 98. Best Practices for Scalable Microservice Architectures
• 99. Modern Java Features (Java 17+)
• 100. Troubleshooting and Debugging Spring Cloud Applications